Results 51 to 60 of about 6,142 (181)
Increased cervical cancer incidence in the target age of screening—Variation by mode of detection
What's new? Cervical cancer rates have risen in several high‐income countries despite advances in screening. Here, using data on cervical cancer diagnoses between 1996 and 2022 in Finland, the authors examined incidence trends according to detection mode—screening, between screenings, or outside screening programs—with attention to the role of human ...
Jenna Snellman +4 more
wiley +1 more source
Predictive Ability of Chosen Bankruptcy Models: A Case Study of Slovak Republic
Bankruptcy models are used to assess credit risk and predict financial situation to indicate the probable bankruptcy of the company. Contribution deals with the application of chosen bankruptcy models in analysing and predicting the financial health of ...
Siekelova Anna +2 more
doaj +1 more source
What's new? This population‐based cohort study aimed to demonstrate how annual audits of all aspects of the cervical cancer screening pathway can be performed using register national data with clinical validation to identify patterns of risk and inform program change.
Cecilia Kärrberg +9 more
wiley +1 more source
A statistical approach to modeling the underground economy in South Africa
Aim/purpose – The underground economy is a major challenge across the world affecting both developed and developing economies. South Africa is no exception to this phenomenon and has lost billions of rands due to the underground economy.
Koloane Cathrine Thato, Bodhlyera Oliver
doaj +1 more source
Abstract This article provides updated global cancer statistics for the year 2024 based on the GLOBOCAN estimates of the International Agency for Research on Cancer. The authors describe national cancer incidence and mortality by world region and the Human Development Index and predict the burden in 2050 based on demographic trends.
Hyuna Sung +7 more
wiley +1 more source
We study the binary choice problem in a data‐rich environment with asymmetric loss functions. The econometrics literature covers nonparametric binary choice problems but does not offer computationally attractive solutions in data‐rich environments. The machine learning literature has many algorithms but is focused mostly on loss functions that are ...
Andrii Babii +3 more
wiley +1 more source
A refined methodological approach: Long-term stock market forecasting with XGBoost
One critical research gap that this study fills is artificial intelligence (AI) and machine learning applications that predict equity market index total returns using long-term prediction horizons, and by experimenting with Extreme Gradient Boosting ...
Sürek Rojen Erik, Lau Wee-Yeap
doaj +1 more source
What's new? This study shows that absolute and relative educational inequalities in cervical cancer mortality are much larger in the Baltic countries than in Finland, where an organized screening programme was introduced more than 40 years earlier. After the introduction of organized screening, cervical cancer mortality declined among low‐educated ...
Oskar Nõmm +7 more
wiley +1 more source
Individuals with Down syndrome have distinctive cancer profiles as compared with the general US population. Healthcare guidelines related to cancer screenings should reflect these unique profiles. ABSTRACT Introduction It is known that individuals with Down syndrome (DS) have a significantly different spectrum of malignancies and neoplasms.
Veronica Fitzpatrick +6 more
wiley +1 more source
What Drives Economic Growth in Some CEE Countries?
Considering the potential factors that might generate economic growth, a target for any economy, this paper identified some determinants of economic growth in the countries from Central and Eastern Europe (CEE countries) that are member states of the ...
Simionescu Mihaela
doaj +1 more source

